Triple

T9113984
Position Surface form Disambiguated ID Type / Status
Subject Nick Dear E218673 entity
Predicate wroteFor P1996 FINISHED
Object BBC Television E17557 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BBC Television | Statement: [Nick Dear, wroteFor, BBC Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBC Television
Context triple: [Nick Dear, wroteFor, BBC Television]
  • A. CBC Television
    CBC Television is the Canadian Broadcasting Corporation’s national English-language television network, offering news, entertainment, and cultural programming across Canada.
  • B. BBC television services chosen
    BBC television services are the collection of television channels and platforms operated by the British Broadcasting Corporation, including national, regional, and specialized services across the UK.
  • C. BBC One
    BBC One is the BBC’s flagship television channel in the United Kingdom, known for broadcasting a wide range of popular news, drama, comedy, and entertainment programs.
  • D. BBC
    The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
  • E. BBC
    BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84c209c8190b082a9b8499bedf7 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0305eb6e081908edba0ddab25e209 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.